samsung SM-X930
Geekbench AI Score
2283
Single Precision Score
2255
Half Precision Score
3424
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 10:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X930 |
| Model ID | samsung SM-X930 |
| Motherboard | gts11uwifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.73 GHz |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1638
304.7 IPS |
|
|
Image Classification (HP)
|
100% |
1560
290.0 IPS |
|
|
Image Classification (Q)
|
100% |
2569
477.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1946
31.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2804
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3533
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3470
4.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
7002
8.30 IPS |
|
|
Object Detection (SP)
|
98% |
1474
117.3 IPS |
|
|
Object Detection (HP)
|
98% |
1471
117.0 IPS |
|
|
Object Detection (Q)
|
83% |
2312
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
3335
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3349
39.8 IPS |
|
|
Face Detection (Q)
|
95% |
5463
65.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3524
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3475
26.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5537
50.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8310
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8248
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15182
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1788
66.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1774
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3637
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
743
991.5 IPS |
|
|
Text Classification (HP)
|
99% |
758
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1401
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1707
29.4 IPS |
|
|
Machine Translation (Q)
|
50% |
813
28.9 IPS |
